Abstract
The paper presents the survey, documentation, and enhancement ex- perience of the Tesla Museum in Zagreb. A hybrid methodology, now consoli- dated, was used for the survey of the architectural complex. which uses a laser scanner integrated with photogrammetry techniques, both aerial and terrestrial for the detail of artifacts. The collected data served as a basis for the creation of BIM-based models architectural and structural, then enriched by the technologies offered by the platform INCEPTION to aggregate the additional documentation collected towards the creation of models H-BIM. The latter then allowed their exploitation, through appropriate analysis for seismic reinforcement of the struc- ture, for the maintenance of the building but also through optimizations, in im- mersive environments of virtual and augmented reality, for the enjoyment of the value of the architectural work and the artifacts contained herein.
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References
European project “INCEPTION - Inclusive Cultural Heritage in Europe through 3D seman- tic modelling”, concluded in May 2019 and funded by the European Commission under the Horizon 2020 Program, Research and Innovation Action under Grant Agreement No. 665220.
Technical Museum website in Nikola Tesla: <tmnt.hr/hr-hr>
Referable to a LOD F/G provided for by the Italian legislation UNI 11337-4:2017 for works of historical-architectural interest.
A specific set of properties allows you to extend the IFC 2x3 standard and include compo- nent nomenclatures according to the Getty vocabulary, through specific addressing of the INCEPTION platform via links.
Elena, A., et al.: Potenzialità dei software Free e/o Open Source per la modellazione, gestione e fruizione di entità 3D. In Geomatics Workbooks, n. 14 - FOSS4G-it (2018)
Bonsmar, P., et al.: Handling huge and complex 3D geometries with Semantic Web technology. IOP Conference Se- ries: Materials Science and Engineering 364(1), 12–41 (2018)
Stefano, B., Gianfranco, R., Filippo, S., Pamela, M.: Augmented Reality for Historical Storytelling. The INCIPICT Project for the Reconstruction of Tangible and Intangible Image of L’Aquila Historical Centre. In Proceedings 1, 1083 (2017)
Cadelano, G., et al.: Improving the Energy Efficiency, Limiting Costs and Reducing CO2 Emissions of a Mu- seum Using Geothermal Energy and Energy Management Policies. In Energies 2019(12), 3192 (2019)
Roberto, D.G., et al.: Integrated data capturing requirements for 3D semantic modelling of Cultural Heritage: the INCEPTION protocol. In: Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII- 2/W3, pp. 251–257 (2017)
Francesca, F., Manuela, B., Andrea, M.: Survey Methodologies, Research and Technological Innovation for a Case of Medieval Archaeology: Torre Melissa in the province of Crotone. In DisegnareCon 10(19), 6–1 (2017)
Federica, M., et al.: Docu- mentation, Processing, and Representation of Architectural Heritage Through 3D Semantic Modelling: The INCEPTION Project. In: Cecilia, B., Cettina, S. (eds.). Impact of Industry 4.0 on Architecture and Cultural Heritage. Hershey, PA: IGI Global, pp. 202- 238 (2020)
Francesco, N., Fabio, R.: UAV for 3D mapping applications: a review. In Applied geomatics 6(1), 1–15 (2014)
Sandro, P., Francesca, P., Monica, B.: La ‘migrazione’ della realtà in scenari virtuali: Banche dati e sistemi di documentazione per la musealizzazione di am- bienti complessi. Musei virtuali dell’architettura e della città. In Disegnarecon 9(17), 14–1 (2016)
Vlatka, R., Dean, Č, Mislav, S.: Reconstruction of the technical Museum in Zagreb. In Advanced Materials Research 778, 919–926 (2013)
Vlatka, R., Mislav, S., Jure, B.: In Situ Advanced Diagnostics and Inspection by Non-destructive Techniques and UAV as Input to Numerical Model and Struc- tural Analysis - Case Study. In: Antonia, M., Manolis, K., Andreas, G., Constantine, S., Charalambos, M. (eds.) Transdisciplinary Multispectral Modeling and Cooperation for the Preservation of Cultural Heritage. TMM_CH 2018. Communications in Computer and Information Science, vol 962. Springer, Cham (2019)
Dubravka, V.: The Zagreb Fair as a Generator of New Zagreb’s Planning. Journal of Planning History.Author, F.: Article title. Journal 2(5), 99–110 (2016). (2020)
Doulamis, A.D., et al.: A 4D Virtual/Augmented Reality Viewer Exploiting Un- structured Web-based Image Data. VISAPP (2) (2015)
Doulamis, N., et al.: Modelling of static and moving objects: digitizing tangible and intangible cultural heritage. Mixed reality and gamification for cultural heritage. Springer, Cham, pp. 567–589 (2017)
Johnson, P.S., et al.: Online 4D reconstruction using multi-images available under Open Access. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2013)
Protopapadakis, E., Doulamis, A.: Semi-supervised image meta-filter- ing using relevance feedback in cultural heritage applications. International Journal of Her- itage in the Digital Era 3(4), 613–627 (2014)
Acknowledgements
We would like to acknowledge the EU project H2020 INCEPTION. The presented paper is a compilation of the work of several INCEPTION project partners. Their contribution is gratefully acknowledged.
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Rajčić, V., Medici, M., Ferrari, F. (2022). Technical Museum Nikola Tesla in Zagreb - Survey and Documentation for the Enhancement of Structural Performance After Recent Earthquakes, Maintenance and AR and VR Applications. In: Moropoulou, A., Georgopoulos, A., Doulamis, A., Ioannides, M., Ronchi, A. (eds) Trandisciplinary Multispectral Modelling and Cooperation for the Preservation of Cultural Heritage. TMM_CH 2021. Communications in Computer and Information Science, vol 1574. Springer, Cham. https://doi.org/10.1007/978-3-031-20253-7_4
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